The Applications of Fusion Neutrosophic Number Theory in Public Key Cryptography and the Improvement of RSA Algorithm

Mehmet; Mohammad; Ali

doi:https://doi.org/10.54216/FPA.100206

Galoitica: Journal of Mathematical Structures and Applications | 2023

A Study of Shrinkage Estimators for Reliability Function and Variance Properties

A variety of shrinkage methods for estimating unknown parameters has been considered. We derive and compare the shrinkage estimators for the reliability function of the two-parameter exponential distribution. Simulation experiments are used to study the performances of these estimators.

groups

Ahmad Khaldi mail -

Ammar Rawashdeh mail

link https://doi.org/10.54216/GJMSA.040104

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

Bipolar Neutrosophic Finite Switchboard State Machines

The notion of bipolar neutrosophic finite switchboard state machines (BNFSSTMs), homomorphisms and strong homomorphisms of bipolar neutrosophic finite state machines (BNFSSTMs) are introduced and some related results are studied.

groups

Aiyared Iampan mail -

U. Venkata Kalyani mail -

T. Eswarlal mail -

G. V. R. Reddy mail

link https://doi.org/10.54216/IJNS.210204

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

The Role of Information Technology in Improving the Quality of Information and its Implications for Economic Development

The world is witnessing today a new reality characterized by dynamism and speed of change because of the revolutions that the economy has undergone, especially the information and communication technology revolution, which led to an increase in interest in producing information and delivering it to decision makers in a timely manner to make rational decisions, contributing to advancing the wheel of economic development forward. The research aims to clarify the role of information and communication technology in improving the quality of information and the implications of this information on investment decisions that achieve economic development.

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Muhammad Eid Balbaa mail -

Maha Ibrahim mail -

Samandarboy Sulaymanov mail -

Durdona Davletova mail

link https://doi.org/10.54216/JSDGT.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

Neutrosophic and Information Fusion | 2023

Enhance the Performance of Bus Rapid Transit (BRT) through the Evaluation of Alternatives under an Integrated MCDM Neutrosophic Environment

As a method of transportation, the bus rapid transit system (BRT), also known as BRT, has a greater occupancy rate and is better suited for travelling over longer distances. Evaluating the performance of potential alternatives is necessary because of concerns over sustainability and the need to improve BRT's performance to increase customer satisfaction. On the other hand, criteria that are predicated on the fundamental idea of the emission performance of BRT call for ambiguous or indeterminate expert evaluations to be addressed using single-valued neutrosophic sets (SVNSs). An integrated paradigm for making decisions based on several factors is shown here. To evaluate and rank the solutions, we used a measurement of the different options available and ranked them with the Neutrosophic MARCOS method.

groups

Ahmed Abdelhafeez mail -

Hoda K Mohamed mail

link https://doi.org/10.54216/NIF.010201

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023

Enhanced Template Protection Algorithms Based on Fuzzy Vault and Cuckoo Hashing for Fingerprint Biometrics

Biometrics provides better authentication. Unprotected biometrics is open to attacks from intruders as stolen biometrics may not be revocable. Although there are several points where attacks can be launched on biometric systems, template databases are said to be the most frequently attacked. When a template database is attacked, attackers can add fresh templates, modify the existing ones, copy or steal templates and later construct a spoof from it or replay it back into the biometric system to impersonate a genuine user. Several template security systems have been presented in the literature to secure biometric templates. Fuzzy vault, as proposed by many researchers is, to some extent, one of the best algorithms to achieve template protection as it has good security. Fuzzy vault, however, lacks irreversibility, revocability, and diversity. To address these disadvantages and strengthen fuzzy vault, this study combines a noninvertible feature transformation template protection algorithm known as cuckoo hashing that possesses irreversibility, revocability, and diversity properties with a fuzzy vault for privacy. The study used fingerprint biometrics as it is widely used. The proposed algorithm was implemented in the MATLAB 2016a environment using FVC 2004 DB1 fingerprint public database. The proposed algorithm recorded a FAR of 0.01% and an FRR value of 0.09% with an EER of 0.05%.

groups

Mulikat B. Akanbi mail -

Rasheed G. Jimoh mail -

Agbotiname L. Imoize mail -

Joseph B. Awotunde mail -

Olatunji S. Isiaka mail -

Shade B. Abdulrahaman mail

link https://doi.org/10.54216/FPA.100201

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023

Media Students’ Internship planning and practices During and After COVID-19: Fusion of technology perspective

The COVID-19 pandemic had a significant impact on many areas of the workforce, including internship programs. The education sector in general started integrating technology as a kind of fusion of technology in different ways.   The internship course was one of the important educational programs that get affected by the pandemic and there was a deep need for technology fusion to overcome the hard times. This study investigates the effects of COVID-19 on internship programs and provides recommendations for implementing effective strategies in a post-COVID-19 World.  To accomplish this, a comprehensive review of relevant literature review has been conducted, including academic journals, governments, and industry reports, as well as employing both qualitative and quantitative research methods. This study also discussed a case study of the Professional Work Shadow Program, an internship for media students specialized in Integrated marketing communication, Broadcasting, International relations, and public relations. The study findings recommend various marketing strategies, which can help media internship providers and beyond offer effective and sustainable programs to university students.

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Walaa Fouda mail -

Federico Triolo mail -

Amira Al Nahdi mail

link https://doi.org/10.54216/FPA.100202

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023

Security Model for Encrypting Uncertain Rational Data Units Based on Refined Neutrosophic Integers Fusion and El Gamal Algorithm

The objective of this paper is to introduce a novel security model for the encryption of uncertain rational data units represented as single-valued rational neutrosophic numbers by combining refined neutrosophic number theoretical concepts with the El Gamal public key crypto scheme. In addition, some applications on uncertain data units will be shown and illustrated.

groups

Mehmet Merkepci mail -

Mohammad Abobala mail

link https://doi.org/10.54216/FPA.100203

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023

Analysis of Secure Data Sharing Techniques Using Blockchain

The demand for cloud computing has increased immensely, and its security is becoming challenging. The enormous growth in cloud computing adaptation has been observed, but the information security concerns have not been addressed thoroughly. The security issues related to cloud computing are a concern. The emergence of Blockchain as a key security provider has increased the hope for the availability of a secure cloud computing environment. The data-sharing technique based on the cloud scenario relies on the network's storage and architecture; however, the storage providers are considered trusted third parties for data-sharing and storage purposes. The associated limitations such as security, high operational cost, centralized storage capability, and data availability have become a challenging task, which leads to the development of a trusted data management system for secure data sharing through the Blockchain. This study presents an analysis of secure data-sharing techniques using Blockchain. The related research articles were elicited from several sources such as Springer, IEEE, Elsevier, and other online sources. The primary studies have been categorized into four types: healthcare data sharing, vehicular communication-based data sharing, IoT-based data sharing, and other miscellaneous techniques. The techniques have been analyzed based on various performance metrics. The analysis and findings of this study can pave a way for the future development of safe data-sharing techniques using Blockchain technology.

groups

Neha Mathur mail -

Shweta Sinha mail -

Rajesh Kumar Tyagi mail -

Nishtha Jatana mail

link https://doi.org/10.54216/FPA.100204

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023

Forecasting NFT Prices on Web3 Blockchain Using Machine Learning to Provide SAAS NFT Collectors

Non-Fungible Tokens (NFTs) are one-of-a-kind digital items with static or continuous visual and audio content. NFTs digitally represent any assets that may hold photos, gifs, audio, videos, or any other data-based storable material. These assets may come under a variety of asset groups, including art, in-game goods, and entertainment collecting units. What makes them appealing is their exclusivity, in the sense that each NFT is unique to itself, and ownership is determined by a digital certificate. In the first half of 2021, NFT sales totaled more than a billion. The NFT Software as a service (SAAS) based system is a one-of-a-kind offering and concept for thinking outside the box and presenting intellectuals and creative treasures and exhibiting these objects to ensure the security and integrity of digital assets. The existence of core decentralized networks allows for unrestricted access to this material as well as further analysis. Based on the Web3 Blockchain technology, these assets may be traded and represent next-generation ownership.  In this paper, Adaptive Improved Convolutional Neural Networks (AICNN) are used to forecast NFT to provide a SAAS NFT collector. We also introduce Tree-seed Chaotic Atom Search Optimization (TSC-ASO) algorithm to optimize the forecasting process. The proposed method of NFT price forecasting is evaluated and compared with the existing forecasting methods. To produce an accurate report for NFT price forecasting, the proposed method will be effective.

groups

Rasha Almajed mail -

Abedallah Z. Abualkishik mail -

Amer Ibrahim mail -

Nahia Mourad mail

link https://doi.org/10.54216/FPA.100205

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023